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r-owidapi vs rfm

A side-by-side editorial comparison of r-owidapi and rfm — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

r-owidapi vs rfm: at a glance

Featurer-owidapirfm
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesopen-data, our-world-in-data, r-package, api-wrapperr-package, customer-analytics, segmentation, dependencies
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is r-owidapi?

The R client for Our World in Data found its search had been reading a tenth of the catalog.

owidapi is a small R client for Our World in Data, covering chart data retrieval, metadata, the full chart catalog, and search over it, with experimental Shiny output helpers. It is three releases old and the most recent one is almost entirely repair: the catalog function was silently truncating at 1000 rows because of a Datasette row cap, which meant search had been operating on a fraction of what exists.

Read the full r-owidapi trajectory →

What is rfm?

A customer segmentation package that went quiet for six years and returned with dependency hygiene

rfm computes recency, frequency and monetary segmentation for customer analytics in R. The feature surface was set early: 0.1.0 shipped a Shiny app and customer-level input, 0.2.0 added default segments and median statistics, 0.2.1 added user-specified score thresholds and returnable plot objects. Then nothing for nearly six years. Version 0.4.0 in April 2026 fixes a missing-column error and a customer id fault, and moves plotly and gganimate from Suggests to Imports.

Read the full rfm trajectory →

r-owidapi vs rfm: editorial side-by-side

R
r-owidapi
ANALYTICS
2.5

The R client for Our World in Data found its search had been reading a tenth of the catalog.

◆ Current state

owidapi is a small R client for Our World in Data, covering chart data retrieval, metadata, the full chart catalog, and search over it, with experimental Shiny output helpers. It is three releases old and the most recent one is almost entirely repair: the catalog function was silently truncating at 1000 rows because of a Datasette row cap, which meant search had been operating on a fraction of what exists.

◆ Where it's heading

Development is about making a thin wrapper trustworthy against an upstream that moves without notice. The truncation fix pages through the catalog properly; a separate fix stops the function breaking when Our World in Data dropped a column, by parsing typed columns only when present. Tests moved to mocked responses, with a small live suite retained purely to detect schema drift and skipped on CRAN — a sensible design for a package whose main risk is that the API changes shape rather than that the code is wrong. The user-facing surface has not grown since the initial release; the work is in defending it.

◆ Prediction

On this pattern the next release is likelier to be another upstream-compatibility fix than new functionality, with the schema-drift tests the mechanism that surfaces it.

R
rfm
ANALYTICS
0.0

A customer segmentation package that went quiet for six years and returned with dependency hygiene

◆ Current state

rfm computes recency, frequency and monetary segmentation for customer analytics in R. The feature surface was set early: 0.1.0 shipped a Shiny app and customer-level input, 0.2.0 added default segments and median statistics, 0.2.1 added user-specified score thresholds and returnable plot objects. Then nothing for nearly six years. Version 0.4.0 in April 2026 fixes a missing-column error and a customer id fault, and moves plotly and gganimate from Suggests to Imports.

◆ Where it's heading

The 0.4.0 release says more about maintenance posture than about product direction — the version jump past 0.3.x with only two bug fixes and a dependency reshuffle suggests a package being brought back to a releasable state rather than resuming development. Promoting plotly and gganimate to Imports makes the visualization stack mandatory, which is a heavier install in exchange for a simpler code path. The core RFM computation itself has not changed in this window.

◆ Prediction

The entries show a package returning from dormancy rather than pursuing a roadmap, so further small fixes are more likely than new segmentation capability.

Alternatives to r-owidapi and rfm

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either r-owidapi or rfm.

See all r-owidapi alternatives → · See all rfm alternatives →

Recent activity from r-owidapi and rfm

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 20d agor-owidapiCatalog was silently capped at 1000 charts; now paged in full
  2. 3mo agorfmrfm 0.4.0
  3. 1y agor-owidapiRequest logic consolidated, with graceful catalog errors
  4. 1y agor-owidapiFirst release: data, metadata, catalog and search
  5. 6y agorfmrfm 0.2.2
  6. 6y agorfmrfm 0.2.1
  7. 7y agorfmrfm 0.2.0
  8. 8y agorfmrfm 0.1.1
  9. 8y agorfmrfm 0.1.0

Frequently asked questions

What is the difference between r-owidapi and rfm?

Both compete on the same themes — r-package — within Analytics. r-owidapi is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is r-owidapi better than rfm?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. r-owidapi is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to r-owidapi?

Top r-owidapi alternatives in Analytics are ranked by recent ship velocity. Browse the "r-owidapi alternatives" section above for the current picks, or visit /alternatives/r-owidapi for the full list with editorial commentary on each.

What are the best alternatives to rfm?

Top rfm alternatives in Analytics are ranked by recent ship velocity. Browse the "rfm alternatives" section above for the current picks, or visit /alternatives/rfm for the full list with editorial commentary on each.